Here we develop a pipeline for quantifying stripe patterns from the off-lattice model [1]} and the on-lattice model [2]} introduced in §REF . Our methodology involves cleaning the pattern data to remove outlier cells, computing persistent homology using cell coordinates, building on the methods [3]} to interpret persistent homology more flexibly, and constructing \(\alpha \) -shapes to characterize curviness. Summarized in Figure REF , our five-step process allows us to quantify stripe patterns emerging from stochastic on- and off-lattice models in a robust, comparable way. We show how to characterize the number of patterns with broken stripes or interstripes, stripe and interstripe width, and interstripe curviness, and we pay particular attention to pointing out hyper-parameters throughout our process.
